Instructions to use DarkArtsForge/Vesper-Zenith-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DarkArtsForge/Vesper-Zenith-12B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="DarkArtsForge/Vesper-Zenith-12B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Vesper-Zenith-12B")
model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Vesper-Zenith-12B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

NeMo
How to use DarkArtsForge/Vesper-Zenith-12B with NeMo:
```
# tag did not correspond to a valid NeMo domain.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DarkArtsForge/Vesper-Zenith-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DarkArtsForge/Vesper-Zenith-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DarkArtsForge/Vesper-Zenith-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DarkArtsForge/Vesper-Zenith-12B

SGLang

How to use DarkArtsForge/Vesper-Zenith-12B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "DarkArtsForge/Vesper-Zenith-12B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DarkArtsForge/Vesper-Zenith-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "DarkArtsForge/Vesper-Zenith-12B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DarkArtsForge/Vesper-Zenith-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DarkArtsForge/Vesper-Zenith-12B with Docker Model Runner:
```
docker model run hf.co/DarkArtsForge/Vesper-Zenith-12B
```

Creative

by redaihf - opened 3 days ago

Discussion

redaihf

3 days ago

This model is creative and uncensored with the occasional flash of contextual insight reminiscent of Cydonia 4.3. However the dreaded early termination bug is back. Terminations occur at critical moments and seem to be a form of covert noncompliance.

Naphula

DarkArtsForge org 2 days ago

One of the models was formatted for tekken while the other 3 were chatML, so this could be the cause of early termination. In addition, the other donors except Raven seem to have some refusals.

Did you manage to test Raven 12B on its own yet to see if that also had early terminations? If not, then the della method might also be partially involved.

I'll have to try running token surgeon or something else to fix this probably.

Naphula

DarkArtsForge org 2 days ago

May have found the culprit

WARNING:mergekit.tokenizer.build:Unable to load tokenizer for B:\12B\Lambent--Arsenic-Shahrazad-12B-v4.4. Assuming same as B:\12B\Vortex5--Ethereal-Stardust-12B.
                                                                                                                                                                                                                                            WARNING:mergekit.tokenizer.build:B:\12B\Lambent--Arsenic-Shahrazad-12B-v4.4 token '<|im_start|>' has index 131072>131071 (padding?)███████████████▉                                                          | 13/20 [00:01<00:00,  9.69it/s]
WARNING:mergekit.tokenizer.build:B:\12B\Lambent--Arsenic-Shahrazad-12B-v4.4 token '<SPECIAL_4>' has index 131074>131071 (padding?)
WARNING:mergekit.tokenizer.build:B:\12B\Lambent--Arsenic-Shahrazad-12B-v4.4 token '<|im_end|>' has index 131073>131071 (padding?)

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment